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Feature ranking based on subtraction methods
<!--HTML-->The input variables of ML methods in physics analysis are often highly correlated and figuring out which ones are the most important ones for the classification turns out to be a non-trivial tasks. We compare the standard method of TMVA to rank variables with a several newly devel...
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| Lenguaje: | eng |
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2019
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| Acceso en línea: | http://cds.cern.ch/record/2672551 |